fd401d8b-5f1c-4443-817f-e4495cc14037

This model is a fine-tuned version of katuni4ka/tiny-random-olmo-hf on the None dataset. It achieves the following results on the evaluation set:

• Loss: 10.7165

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.000217
• train_batch_size: 4
• eval_batch_size: 4
• seed: 170
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 50
• training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0000	1	10.8310
10.787	0.0014	50	10.7717
10.7224	0.0027	100	10.7307
10.7205	0.0041	150	10.7195
10.712	0.0054	200	10.7175
10.7161	0.0068	250	10.7170
10.71	0.0081	300	10.7169
10.7058	0.0095	350	10.7167
10.7123	0.0108	400	10.7166
10.7129	0.0122	450	10.7165
10.7166	0.0135	500	10.7165

Framework versions

• PEFT 0.13.2
• Transformers 4.46.0
• Pytorch 2.5.0+cu124
• Datasets 3.0.1
• Tokenizers 0.20.1